Triple
T5452323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyber Rodeo |
E122396
|
entity |
| Predicate | relatedToTechnology |
P1485
|
FINISHED |
| Object | electric vehicle manufacturing |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: electric vehicle manufacturing | Statement: [Cyber Rodeo, relatedToTechnology, electric vehicle manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToTechnology Context triple: [Cyber Rodeo, relatedToTechnology, electric vehicle manufacturing]
-
A.
associatedWithTechnology
chosen
Indicates a relationship where an entity is connected to, involved with, or utilizes a particular technology.
-
B.
influencedTechnology
Indicates that one entity has had a causal or shaping impact on the development, design, or use of a technological entity.
-
C.
technologyField
Indicates the area or domain of technology in which an entity is involved, specialized, or categorized.
-
D.
technologyDiscussed
Indicates that a conversation, text, or interaction includes discussion or mention of a particular technology.
-
E.
technologyUsedIn
Indicates that a particular technology is employed or applied within a specific process, product, context, or domain.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd95be329c81908783420cf81b6af5 |
completed | March 20, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69bd919e8d18819098c4af6a015e5cc2 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.